Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment
| Autor: | Emilia Biffi, Chiara Genova, Anna Carla Turconi, Alfonso Mastropietro, Giovanna Rizzo, Daniele Panzeri, Gianluigi Reni, Chiara Gagliardi, Giorgia Malerba, Cristina Maghini, Caterina Piazza, Ileana Pirovano |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Neural correlates of consciousness
medicine.medical_specialty medicine.diagnostic_test TK7800-8360 Computer Networks and Communications Computer science multimodal acquisition gait rehabilitation Virtual reality Electroencephalography Gait (human) Physical medicine and rehabilitation Neuroimaging Gait training Hardware and Architecture Control and Systems Engineering Gait analysis Signal Processing gait analysis medicine virtual reality EEG Electrical and Electronic Engineering Electronics Set (psychology) |
| Zdroj: | Electronics, Vol 10, Iss 2838, p 2838 (2021) Electronics (Basel) 10 (2021). doi:10.3390/electronics10222838 info:cnr-pdr/source/autori:Piazza, Caterina; Pirovano, Ileana; Mastropietro, Alfonso; Genova, Chiara; Gagliardi, Chiara; Turconi, Anna Carla; Malerba, Giorgia; Panzeri, Daniele; Maghini, Cristina; Reni, Gianluigi; Rizzo, Giovanna; Biffi, Emilia/titolo:Development and preliminary testing of a system for the multimodal analysis of gait training n a virtual reality environment/doi:10.3390%2Felectronics10222838/rivista:Electronics (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:10 Electronics Volume 10 Issue 22 |
| ISSN: | 2079-9292 |
| Popis: | Gait training in a virtual reality (VR) environment is promising for children affected by different disorders. However, the efficacy of VR therapy is still under debate, and more research is needed to clarify its effects on clinical conditions. The combination of VR with neuroimaging methods, such as the electroencephalography (EEG), might help in answering this need. The aim of the present work was to set up and test a system for the multimodal analysis of the gait pattern during VR gait training of pediatric populations by analyzing the EEG correlates as well as the kinematic and kinetic parameters of the gait. An EEG system was integrated with the Gait Real-time Analysis Interactive Lab (GRAIL). We developed and validated, with healthy adults (n = 5) and children (n = 4, healthy or affected by cerebral palsy (CP)), the hardware and software integration of the two systems, which allowed the synchronization of the acquired signals and a reliable identification of the initial contact (IC) of each gait cycle, showing good sensitivity and critical success index values. Moreover, we tested the multimodal acquisition by successfully analyzing EEG data and kinematic and kinetic parameters of one healthy child and one child with CP. This system gives the possibility of monitoring the effect of the VR therapy and studying the neural correlates of gait. |
| Databáze: | OpenAIRE |
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